celldrift
Replication signature trained on 31 serially passaged hTERT-immortalized human astrocyte samples. The released 62-PC elastic-net predictor over 2,322 CpGs is folded algebraically into a single linear score. Output is calibrated to cumulative population doublings, not years. Original-author missingness is preserved: supplied NaNs become zero, whereas absent CpGs use module means. GitHub commit 066b3e816795f3c0b372ff8d33f59185a490bd8b; DOI 10.5281/zenodo.7693699. Upstream software license is unspecified (Zenodo: Other (Open)).
Model weights retain the original authors' terms; the pyaging software license does not relicense them.
| Predicts | mitotic age |
| Species | Homo sapiens |
| Tissue | cultured human cells |
| Data type | DNA methylation |
| Model type | PCA + elastic net regression |
| Year | 2023 |
Use with pyaging
import pyaging as pya
pya.pred.predict_age(adata, ["celldrift"])
Browse every clock in the pyaging Clock Catalogue.
Citation
Minteer, C. J., et al. (2023). More than bad luck: Cancer and aging are linked to replication-driven changes to the epigenome. Science Advances, 9(29), eadf4163.
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